docstr: Tests that mechanism for passing input shape works.
docstr_tok: ["Tests","that","mechanism","for","passing","input","shape","works","."]
code: def test_decode_needs_input_shape(self):
      """Tests that mechanism for passing input shape works."""
      x_fn = lambda: tf.reshape(list(range(15)), [3, 5])
      encoder = gather_encoder.GatherEncoder.from_encoder(
          core_encoder.EncoderComposer(
              test_utils.ReduceMeanEncodingStage()
          ).make(),
          tf.TensorSpec.from_tensor(x_fn()),
      )
  
      iteration = _make_iteration_function(encoder, x_fn, 1)
      data = self.evaluate(iteration(encoder.initial_state()))
      self.assertAllEqual([[7.0] * 5] * 3, data.decoded_x)
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow.python.framework import test_util
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.core import core_encoder
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.core import encoding_stage
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.core import gather_encoder
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.testing import test_utils
label_desc: Use image node_id 5 for calling the GatherEncoderTest obj's underlying member method code with example usage: obj.test_decode_needs_input_shape() without return types